Key Learning Objectives:

1. Technical Foundations

• Learn the structure, variability, and challenges of biomedical data (e.g., noise, drift, motion artifacts).
• Acquire foundational skills in biomedical signal processing, feature extraction, and machine learning approaches.

2. Algorithm Development

• Design and implement algorithms for biomedical data pre-processing, classification, or trend detection.
• Apply filtering, noise reduction, and adaptive methods suitable for continuous or real-time sensing.

3. Data Validation and Analysis

• Evaluate algorithm performance using metrics such asaccuracy, sensitivity, and robustness.
• Conduct validation using experimental or prototypedata
• Compare algorithmic approaches to identify optimalmethods for specific biomedical targets.

4. Document and communicate development progress

• Present technical findings through written reports, presentations, or demonstration prototypes.

Intern’s Responsibilities:

• Assist in data handling
• Support algorithm development
• Run experiments & document results
• Review relevant literature, summarize findings and propose ideas for improvement
• Ensure code and data management standards

Training and Development:

-What training will be provided to interns?(e.g., software tools, technical workshops, soft skills)

• Technical and Research Training: Biomedical Data Processing Fundamental, Algorithm Design and Machine Learning, Data Validation and Evaluation Techniques
• Software tools: git for version control
• Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills

-Will the intern be involved in any projects or team work?

• Yes, will be involved in wearable algorithms development

Benefits:

• Allowance Provided – Interns will receive a monthly allowance to support their contributions.
• Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
• Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
• Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
• Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high calibre colleagues.